Pfizer
Pharmaceutical Sciences
AIEmbeddedSystemsEngineer
“AI Embedded Systems Engineer at Pfizer. Skills: AI Embedded Systems, Data Solutions, Software Development, Data Analysis. Understand systems and requirements. Develop data products”
What You'll Achieve.
Accelerate organization towards AI-readiness; Enable adoption of AI; Automation of scientific datasets; Digitization of scientific datasets; Contextualization of scientific datasets; Support downstream AI/ML use cases; Accelerate solution delivery
Industry & Context.
Solving complex analyses; Solving problems
Hybrid role, Live within commuting distance, Work on-site an average of 2.5 days per week, May require travel to other PharmSci sites (< 10%), Permanent work authorization in the United States
What They're Looking For.
Must Have
BS in Biology, Chemistry, Physics, Statistics, Computer Sciences or a related technical discipline, 4+ years of experience in a software development role focused on embedded systems and/or data operations, Master’s degree and 2+ years of experience in a software development role focused on embedded systems and/or data operations, Recent PhD graduate in a related technical discipline, Experience with data handling, integration and analysis, experience with SQL and cloud data warehouses, Experience developing data products and data integration solutions in a research or industry environment, Experience solving complex analyses/problems in a timely fashion, Exceptional programming skills in at least one systems language (e. g. , C, C#, Java, Go) and python, communication skills—verbal, written, and presentation
Nice to Have
Proven expertise in software engineering, package development, cloud architectures, CI/CD and software engineering tooling, Familiarity with pertinent libraries within the scientific Python stack, Experience with Github Copilot or other AI-enabled coding tools that accelerate solution delivery, Experience taking ideas from prototype to production, Experience in regulated industry & software validation practices
What You'll Do.
Understand systems and requirements
Develop data products
Develop custom applications
Develop data analysis pipelines
Develop system integration pipelines
Support GMP compliance
Understand data needs
Integration of datasets
Implementation of methods
Validation of methods
How You'll Work.
Team & Collaboration
Partner with scientists; Work with robotics teams; Partner with other developers
Communication Scope
Verbal; Written; Presentation
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